At a Glance
- Tasks: Lead the design and delivery of scalable cloud data platforms using Azure.
- Company: Globally established organisation with a focus on innovation.
- Benefits: Up to £90,000 salary, bonus, and hybrid working options.
- Other info: Great opportunity for career growth in a dynamic tech environment.
- Why this job: Shape enterprise-scale cloud data solutions and drive impactful data transformations.
- Qualifications: Experience in Azure Databricks, ETL/ELT pipelines, and data architecture.
The predicted salary is between 90000 - 90000 € per year.
A globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms. This role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment.
Responsibilities:
- Design and implement scalable Lakehouse, warehouse and enterprise data architectures
- Build and optimise ETL / ELT pipelines using Azure Databricks
- Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services
- Lead greenfield Lakehouse framework implementations
- Define conceptual, logical and physical data models
- Establish data governance, security and compliance standards
- Implement partitioning, clustering and optimisation strategies for performance and scalability
- Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions
- Contribute hands-on development using PySpark, SQL and Python
- Support CI/CD and DevOps practices using Git-based version control
- Present architectural designs to governance and review forums
Essential Skills:
- Strong experience designing ETL / ELT pipelines using Azure Databricks
- Hands-on experience with Azure Data Lake and Azure Data Factory
- Strong experience implementing Lakehouse architecture in greenfield environments
- Strong knowledge of data modelling and enterprise data architecture
- Experience implementing data governance, metadata and security frameworks
- Experience working across enterprise-scale cloud data landscapes
- Strong understanding of performance optimisation and data management strategies
- Experience with PySpark, SQL and Python Spark
Desirable Skills:
- Strong stakeholder management and communication skills
- Experience working within Agile delivery environments
- Experience collaborating with large cross-functional delivery teams
- Retail industry experience beneficial
If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.
Resilience Architect - Remote in Reading employer: Involved Solutions
Join a globally established organisation that values innovation and collaboration, offering a dynamic work culture where your expertise as a Databricks Solution Architect will be pivotal in shaping enterprise-scale cloud data platforms. With a competitive salary of up to £90,000 plus bonuses and benefits, this role provides ample opportunities for professional growth and development, all while enjoying the flexibility of a hybrid working model in Reading. Embrace the chance to work with cutting-edge technologies and contribute to impactful data transformation initiatives in a supportive environment that prioritises employee success.
StudySmarter Expert Advice🤫
We think this is how you could land Resilience Architect - Remote in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Databricks and Azure. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your experience with ETL/ELT pipelines and Lakehouse architecture. We love seeing real-world applications of your expertise, so make sure to share them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Resilience Architect - Remote in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your experience with Azure Databricks, ETL/ELT pipelines, and Lakehouse architecture to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the role. Share specific examples of your past projects that align with the responsibilities listed, especially around data governance and performance optimisation.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! We want to see your hands-on experience with PySpark, SQL, and Python. Make sure these are front and centre in your application.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks, Data Lake, and Data Factory. Brush up on your ETL/ELT pipeline design skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data architecture or governance. Think about times when you optimised performance or led a greenfield implementation, and be ready to dive into the details.
✨Communicate Clearly and Confidently
Since strong communication is key, practice explaining complex concepts in simple terms. Be prepared to present your architectural designs as if you're talking to stakeholders who may not have a technical background.
✨Demonstrate Team Collaboration
Highlight your experience working with cross-functional teams. Share stories that illustrate your ability to collaborate with data scientists, analysts, and DevOps teams, especially in Agile environments.
